code: def posemb_sincos_2d(patches, temperature=10000, dtype=torch.float32):
      _, h, w, dim, device, dtype = (
          *patches.shape,
          patches.device,
          patches.dtype,
      )
  
      y, x = torch.meshgrid(
          torch.arange(h, device=device),
          torch.arange(w, device=device),
          indexing="ij",
      )
      assert (
          dim % 4
      ) == 0, "feature dimension must be multiple of 4 for sincos emb"
      omega = torch.arange(dim // 4, device=device) / (dim // 4 - 1)
      omega = 1.0 / (temperature**omega)
  
      y = y.flatten()[:, None] * omega[None, :]
      x = x.flatten()[:, None] * omega[None, :]
      pe = torch.cat((x.sin(), x.cos(), y.sin(), y.cos()), dim=1)
      return pe.type(dtype)
  
imports: from collections import namedtuple
  from packaging import version
  import torch
  import torch.nn.functional
  from torch import nn
  from einops import rearrange
  from einops.layers.torch import Rearrange
label_desc: Use image node_id 2 for calling a global function with example usage: posemb_sincos_2d(patches, temperature, dtype) and returns: pe